Location Analytics for Retail Esri（为零售Esri位置分析）.pdfVIP

Location Analytics for Retail A K n o w l e d g e B r i e f Growing Retail Sales with Location Analytics Most retailers closely guard how they develop their growth strategies. Accordingly, this use case is representative of how Esri contributes to the success of leading retailers, restaurant chains, and real estate developers nationwide. A successful online/catalog retailer has opened several brick-and-mortar stores over the past three years. Sales are up in both channels, and the retailer is looking to expand its store network further in ways that will do the following: • Leverage its existing customer base • Position it to attract new customers • Minimize cannibalization between channels and promote overall growth • Generate highest return on capital investments in new stores • Establish its brand in markets with high concentrations of its target customers before its competitors do How important is location in business? 74% 41% 33% SAY LOCATION IS VERY IMPORTANT VERY IMPORTANT IMPORTANT OR IMPORTANT Early on, the store network strategy was simple; the retailer opened stores in markets with high catalog and online sales. All stores are profitable, but some significantly outperform others. A deeper dive into its business intelligence (BI) data revealed why, resulting in a new framework for determining where to open stores. From having an online sales and loyalty program, this retailer knows its lifestyle fitness-wear brand By adding Esri population data to its sales data, the retailer appeals to these customers: could identify areas that offered good growth potential. • Active women aged 20–53 (the most profitable core customers are 25–42.) • Professional (college educated) • High income (annual household: $